Statistical classifiers for diagnosing disease from immune repertoires: a case study using multiple sclerosis.

ABSTRACT:

Background

Deep sequencing of lymphocyte receptor repertoires has made it possible to comprehensively profile the clonal composition of lymphocyte populations. This opens the door for novel approaches to diagnose and prognosticate diseases with a driving immune component by identifying repertoire sequence patterns associated with clinical phenotypes. Indeed, recent studies support the feasibility of this, demonstrating an association between repertoire-level summary statistics (e.g., diversity) and patient outcomes for several diseases. In our own prior work, we have shown that six codons in VH4-containing genes in B cells from the cerebrospinal fluid of patients with relapsing remitting multiple sclerosis (RRMS) have higher replacement mutation frequencies than observed in healthy

SUBMITTER: Ostmeyer J 

PROVIDER: S-EPMC5588725 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature